Christina M
About Christina M
Christina M is a data scientist and machine learning engineer specializing in cybersecurity vulnerability insights. She has extensive experience in software development and research, having worked at Lawrence Livermore National Laboratory and various academic institutions.
Work at Lawrence Livermore National Laboratory
Currently, Christina M works at Lawrence Livermore National Laboratory in multiple roles. Since 2019, she has been a Lead Software Developer focusing on the multilevel training of neural networks. In addition, she has served as a Data Scientist and Machine Learning Engineer specializing in cybersecurity vulnerability insights since 2021. Her responsibilities include architecting data management pipelines to ingest and clean cybersecurity data from various sources and conducting research on machine learning methods to map National Vulnerability Database (NVD) Common Vulnerabilities and Exposures (CVEs) to MITRE ATT&CK tactics, techniques, and procedures (TTPs).
Education and Expertise
Christina M holds a Bachelor of Arts in International Relations and French from the University of California, Davis, where she studied from 2009 to 2013. She furthered her education at the same institution, earning a Master of Science in Computer Science from 2016 to 2019. Additionally, she studied at Ecole Centrale de Lyon for 11 months in 2011 and is currently pursuing a Certificat de langue et civilisation: B2 in French at Sorbonne Université. Her educational background equips her with a strong foundation in both technical and analytical skills.
Background
Christina M has a diverse professional background that includes various roles in technology and research. She began her career as an intern at the California Governor's Office of Business and Economic Development in 2013. She later worked as a Library Aide at San Jose Public Library in 2015. From 2017 to 2019, she served as a Graduate Research Assistant and Lead Teaching Assistant at the University of California, Davis. Additionally, she completed multiple internships at Northrop Grumman in cybersecurity during 2017 and 2018.
Achievements
Christina M has made significant contributions in the field of cybersecurity and data analytics. She mapped a taxonomy of common features across multiple cybersecurity data sources and architected a data management pipeline to streamline the ingestion and cleaning of cybersecurity data. Her research includes initial investigations into machine learning methods for mapping NVD CVEs to ATT&CK TTPs, showcasing her expertise in applying advanced analytical techniques to real-world cybersecurity challenges.